Techniques for using a simple neural network model and standard camera for image detection in autonomous driving
US10929986B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2018 |
| Grant date | Feb 23, 2021 |
| Priority date | — |
| Expiry date | May 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30261
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An advanced driver assistance system (ADAS) and corresponding method for a vehicle utilize a camera system configured to capture an image and a controller configured to receive the captured image, detect an object in the captured image using a simple neural network model, track the detected object using a tracking technique to obtain a tracked position, project a trajectory of the detected object using a trajectory projection technique to obtain a predicted position, determine a most likely position of the detected object based on at least one of the tracked and predicted positions, generate a two-dimensional (2D) birdview projection illustrating the detected object according to its determined most likely position, and control at least one ADAS feature of the vehicle using the generated 2D birdview projection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.